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Advances in solar energy harvesting integrated by van der Waals graphene heterojunctions

RSC Advances 2023年第44期13卷 31273-31291页

作者： Le, Top Khac Mai, The-Hung Iqbal, Muhammad Aamir Vernardou, Dimitra Dao, Van-Duong Ponnusamy, Vinoth Kumar Rout, Chandra Sekhar Pham, Phuong V. Faculty of Materials Science and Technology University of Science Ho Chi Minh City700000 Viet Nam Vietnam National University Ho Chi Minh City700000 Viet Nam Department of Physics National Sun Yat-sen University Kaohsiung80424 Taiwan School of Materials Science and Engineering Zhejiang University Hangzhou310027 China Department of Electrical and Computer Engineering School of Engineering Hellenic Mediterranean University Heraklion71410 Greece Faculty of Biotechnology Chemistry and Environmental Engineering Phenikaa University Hanoi100000 Viet Nam Department of Medicinal and Applied Chemistry and Research Center for Precision Environmental Medicine Kaohsiung Medical University Kaohsiung807 Taiwan Department of Medical Research Kaohsiung Medical University Hospital Kaohsiung807 Taiwan Department of Chemistry National Sun Yat-sen University Kaohsiung80424 Taiwan Centre for Nano and Material Sciences Jain University Bangalore562112 India

Graphene has garnered increasing attention for solar energy harvesting owing to its unique features. However, limitations hinder its widespread adoption in solar energy harvesting, comprising the band gapless in the molecular orbital of graphene lattice, its vulnerability to oxidation in oxidative environments, and specific toxic properties that require careful consideration during development. Beyond current challenges, researchers have explored doping graphene with ionic liquids to raise the lifespan of solar cells (SCs). Additionally, they have paid attention to optimizing graphene/Si Schottky junction or Schottky barrier SCs by enhancing the conductivity and work function of graphene, improving silicon's reflectivity, and addressing passivation issues at the surface/interface of graphene/Si, resulting in significant advancements in their power conversion efficiency. Increasing the functional area of graphene-based SCs and designing efficient grid electrodes are also crucial for enhancing carrier collection efficiency. Flaws and contaminants present at the interface between graphene and silicon pose significant challenges. Despite the progress of graphene/Si-based photovoltaic cells still needs to catch up to the efficiency achieved by commercially available Si p-n junction SCs. The low Schottky barrier height, design-related challenges associated with transfer techniques, and high lateral resistivity of graphene contribute to this performance gap. To maximize the effectiveness and robustness of graphene/Si-based photovoltaic cells, appropriate interlayers have been utilized to tune the interface and modulate graphene's functionality. This mini-review will address ongoing research and development endeavors using van der Waals graphene heterojunctions, aiming to overcome the existing limitations and unlock graphene's full potential in solar energy harvesting and smart storage systems. © 2023 The Royal Society of Chemistry.

关键词： Graphene

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Measuring Encrypted DNS Service with TLS1.3 Support over IPv6

Measuring Encrypted DNS Service with TLS1.3 Support over IPv...

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IEEE Symposium on computers and Communications (ISCC)

作者： Liang Jiao Jianqiang Li Wenxiu Zhang Tianyu Cui Yi Zhou Yujia Zhu Qingyun Liu Institute of Information Engineering Chinese Academy of Sciences School of Cyber Security University of Chinese Academy of Sciences National Computer Network Emergency Response Technical Team/Coordination Center of China Shandong Branch National Computer Network Emergency Response Technical Team/Coordination Center School of Information Science and Engineering University of Jinan Zhongguancun Laboratory

ISBN: (数字)9798350354232

ISBN: (纸本)9798350354249

The Encrypted Domain Name System (DNS) and Encrypted Server Name Indication (ESNI) are recently proposed to enhance network security and privacy protection; we refer to these schemes collectively as domain name encryption technologies. Previous research has shown that the destination IP address accessed by the user cannot be associated with common web services such as websites because a large number of websites are hosted through cloud or CDN over IPv6. However, encrypted DNS, as an internet infrastructure service, is typically deployed independently by the service provider rather than hosted through cloud or CDN. In this paper, we propose a method to discover the unique service provider of encrypted DNS resolvers on a large-scale encrypted traffic with TLS1.3 support over IPv6. The model utilizes a Siamese Network to determine whether two IPv6 resolver addresses belong to the same service provider of encrypted DNS, even if the DNS query is protected by ESNI. Through a comprehensive analysis of two real-world datasets, which include encrypted DNS data and common web data, we find that the implementation of TLS1.3, especially ESNI, does not impact the association of encrypted DNS server addresses. Our model achieves an accuracy rate of 95.29%.

关键词： Measurement Cloud computing Privacy Correlation Web services Network security Domain Name System Cryptography Servers Protection

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Collaborative Control of Aerial Robots for Inferring Human Intent from Gaze Following

Collaborative Control of Aerial Robots for Inferring Human I...

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Control Technology and Applications (CCTA),

作者： Vishnu S. Chipade Alia Gilbert Daniel Harari Dimitra Panagou Department of Aerospace Engineering University of Michigan Ann Arbor MI USA Department of Robotics University of Michigan Ann Arbor MI USA Department of Computer Science and Applied Math Weizmann AI Center Weizmann Institute of Science Israel

In an ideal human-robot collaboration, autonomous robots work side-by-side with humans in a joint workspace, often performing complementary tasks to the humans. A robotic ability to infer human intention and goals directly from human behavior will facilitate the collaboration and maximize its efficiency. In this paper, we focus on inferring which object the human wants picked up next, based on what the human is looking at, by visually following the human gaze and head orientation. We develop a coordination protocol for a team of aerial robots to extract effective human head and gaze cues. The aerial robots are controlled to navigate around the human and collect data that improves the detection of the human's gaze and hence the intended object to be picked up. The effectiveness of the approach is shown using simulations in AirSim, a photo-realistic simulator.

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S3-MonoDETR: Supervised Shape&Scale-perceptive Deformable Transformer for Monocular 3D Object Detection

arXiv

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arXiv 2023年

作者： He, Xuan Yuan, Jin Yang, Kailun Zeng, Zhenchao Li, Zhiyong The Hunan Vanguard Group Corporation Limited Changsha410100 China The College of Computer Science and Electronic Engineering Hunan University Changsha410082 China The School of Robotics Hunan University Changsha410012 China

Recently, transformer-based methods have shown exceptional performance in monocular 3D object detection, which can predict 3D attributes from a single 2D image. These methods typically use visual and depth representations to generate query points on objects, whose quality plays a decisive role in the detection accuracy. However, current unsupervised attention mechanisms without any geometry appearance awareness in transformers are susceptible to producing noisy features for query points, which severely limits the network performance and also makes the model have a poor ability to detect multi-category objects in a single training process. To tackle this problem, this paper proposes a novel "Supervised Shape&Scale-perceptive Deformable Attention" (S3-DA) module for monocular 3D object detection. Concretely, S3-DA utilizes visual and depth features to generate diverse local features with various shapes and scales and predict the corresponding matching distribution simultaneously to impose valuable shape&scale perception for each query. Benefiting from this, S3-DA effectively estimates receptive fields for query points belonging to any category, enabling them to generate robust query features. Besides, we propose a Multi-classification-based Shape&Scale Matching (MSM) loss to supervise the above process. Extensive experiments on KITTI and Waymo Open datasets demonstrate that S3-DA significantly improves the detection accuracy, yielding state-of-the-art performance of single-category and multi-category 3D object detection in a single training process compared to the existing approaches. The source code will be made publicly available at https://***/mikasa3lili/S3-MonoDETR. Copyright © 2023, The Authors. All rights reserved.

关键词： Object recognition

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DCNet: Weakly Supervised Saliency Guided Dual Coding Network for Visual Sentiment Recognition 26

DCNet: Weakly Supervised Saliency Guided Dual Coding Network...

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26th European Conference on Artificial Intelligence, ECAI 2023

作者： Zhang, Xinyue Xiang, Jing Zhang, Hanxiu Wu, Chunwei Wang, Hailing Cao, Guitao School of Computer Science and Technology East China Normal University Shanghai China Shanghai Institute of Ai for Education East China Normal University Shanghai China MoE Engineering Research Center of SW/HW Co-design Technology and Application East China Normal University Shanghai China

ISBN: (纸本)9781643684369

Visual sentiment recognition is a challenging task with scientific significance in probing vision-processing mechanisms. Recent approaches mainly focused on using overall images or precise annotations to learn emotional representations, yet neglected to capture abstract semantics from regional information, or led to a heavy annotation burden. In this paper, we propose an end-to-end weakly supervised framework, called Dual Coding Network (DCNet), which models a dual coding process for both shallow features and high-level regional information. On the one hand, with the help of the fine-grained module (FG), visual features (e.g. texture features) are utilized to enhance the learning of distinguished representation. On the other hand, the DCNet innovatively leverages saliency information to imitate the neural decoding of perceived visual sentiment contents in human brain activity. Specifically, the saliency information guides the generation of sentiment-specific pseudo affective maps (SAMG), which serve as weak annotations. Then the DCNet couples fine-grained features with pseudo affective maps, and obtains semantic vectors for final sentiment prediction. Extensive experiments show that the proposed DCNet outperforms the state-of-the-art performance on five benchmark datasets. © 2023 The Authors.

关键词： Network coding

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Developing a Super-lift Luo-converter with Integration of Buck Converters for Electric Vehicle Applications

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CSEE Journal of Power and Energy Systems 2021年第4期7卷 811-820页

作者： Behdad Faridpak Meisam Farrokhifar Mojtaba Nasiri Arman Alahyari Nasser Sadoogi Faculty of Electrical and Computer Engineering University of TabrizTabriz ***Iran Center for Energy Science and Technology Skolkovo Institute of Science and TechnologyMoscow 121205Russia Solar Energy Applications Group School of EngineeringTrinity College DublinD02 PN40 DublinIreland Research and Development Department of Jam Hoor Tabriz Company Tabriz ***Iran

In this paper,a DC-DC multi-port converter is introduced by integrating a super-lift and a buck converter(SLBC).The proposed single-input dual-output(SIDO)converter has conventional positive output voltage super-lift advantages while simultaneously generating a step・up voltage by Luo・converter and a step-down voltage by the buck *** this structure,without utilizing electromagnetic components to generate a dual output,the ripple in output voltages is kept ***,the introduced SLBC has a simple structure and an appropriate control method providing a wide range of output ***,to illustrate the advantages of the proposed SIDO converter,a comparison with other similar configurations is carried ***,simulation and experiment results indicate a considerable reduction in conduction losses compared to other SIDO converters in the same *** operation accuracy of SLBC is validated by performing several simulations in PSCAD/EMTDC software and testing a 150W prototype in the laboratory.

关键词： DC-DC converter Luo-converter single-input dual-output(SIDO) super-lift(SL) high voltage gain

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Optimization of Memory March X Test Algorithm Based on Nuclear Safety Level DCS System Platform 1

引用

9th International Conference on Energy engineering and Environmental engineering, ICEEEE 2022

作者： Bai, Yongfei Wu, Zhiqiang Liu, Jie Jiang, Wei Zhong, Ke Han, Wenxing Chen, Zhi School of Computer Science University of South China Hengyang421200 China Nuclear Power Institute of China Chengdu610000 China Intelligent Equipment Software Evaluation Engineering Technology Research Center of Hunan Hengyang China CNNC Key Laboratory on High Trusted Computing Hunan Hengyang China

ISBN: (数字)9783031302336

ISBN: (纸本)9783031302329

At present, the testing algorithm of nuclear power safety level DCS system for memory is GALPAT algorithm. This algorithm has a high time complexity and low fault coverage for memory. During the testing process, additional storage space is required, and the security of additional memory cannot be guaranteed. Based on the memory fault testing theory, this paper analyzes and studies the March X algorithm. It is found that the algorithm can not meet the coverage requirements for memory faults when applied to the nuclear power safety level DCS system. A March X+ algorithm is proposed. The algorithm can meet the index requirements of the nuclear power safety level DCS system for memory testing algorithms, and the fault detection rate reaches more than 95%, And it innovatively proposes to save the data to the register during the detection process, which does not require additional memory and improves the security. To verify the feasibility of the algorithm designed in this paper, the algorithm test time and functionality were verified in the main control PBIST module under a nuclear power safety level DCS system platform. The results show that the proposed test algorithm has certain advantages in test time and memory fault coverage. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Nuclear energy

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Friend or foe? Using eye-tracking technology to investigate the visual discrimination ability of giant pandas

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Current Zoology 2024年第4期70卷 430-439页

作者： Xinrui Huang Guo Li Guiquan Zhang Zixiang Li Lin Zhao Mengdie Zhu Qinghua Xiang Xuefeng Liu Mei Tian Hemin Zhang Christina D.Buesching Dingzhen Liu Ministry of Education Key Laboratory of Biodiversity Science and Ecological EngineeringDepartment of EcologyCollege of Life SciencesBeijing Normal UniversityBeijing 100875China Key Laboratory of State Forestry and Grassland Administration on Conservation Biology of Rare Animals in the Giant Panda National Park China Conservation and Research Center for the Giant PandaSichuan 623004China School of Computer and Information Technology Beijing Jiaotong UniversityBeijing 100044China Beijing Key Laboratoryof CaptiveWildlife Technology Beijing ZooBeijing100044China Department of Biology Irving K.Barber Faculty of ScienceThe University of British ColumbiaOkanagan CampusKelownaBCCanada

The role that visual discriminative ability plays among giant pandas in social communication and individual discrimination has received less attention than olfactory and auditory ***,we used an eye-tracker technology to investigate pupil fixation patterns for 8 captive male giant pandas Ailuropoda *** paired images(N=26)of conspecifics against:1)sympatric predators(gray wolves and tigers),and non-threatening sympatric species(golden pheasant,golden snub-nosed monkey,takin,and red panda),2)conspecifics with atypical fur colora-tion(albino and brown),and 3)zookeepers/non-zookeepers wearing either work uniform or plain *** each session,we tracked the pan-da's pupil movements and measured pupil first fixation point(FFP),fixation latency,total fixation count(TFC),and duration(TFD)of attention to each ***,pandas exhibited similar attention(FFPs and TFCs)to images of predators and non-threatening sympatric *** of golden pheasant,snub-nosed monkey,and tiger received less attention(TFD)than images of conspecifics,whereas images of takin and red panda received more attention,suggesting a greater alertness to habitat or food competitors than to potential ***'TFCs were greater for images of black-white conspecifics than for albino or brown phenotypes,implying that familiar color elicited more *** reacted differently to images of men versus *** images of women only,pandas gave more attention(TFC)to familiar combinations(uniformed zookeepers and plain-clothed non-zookeepers),consistent with the familiarity *** pandas can use visual perception to discriminate intra-specifically and inter-specifically,including details of human appearance,has applications for panda conservation and captive husbandry.

关键词： eye movement tracker giant panda images total fixation duration total pupil fixation count visual discrimination.

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Structured Tensor Decomposition Based Channel Estimation and Double Refinements for Active RIS Empowered Broadband Systems

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IEEE Transactions on Vehicular Technology 2025年

作者： Wang, Yirun Wang, Yongqing Shen, Yuyao Wang, Gongpu Tellambura, Chintha Beijing Institute of Technology School of Information and Electronics Beijing100081 China Beijing Jiaotong University Engineering Research Center of Network Management Technology for High Speed Railway Ministry of Education School of Computer Science and Technology Beijing100044 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada

Channel parameter recovery is critical for the next-generation reconfigurable intelligent surface (RIS)-empowered communications and sensing. Tensor-based mechanisms are particularly effective, inherently capturing the multi-dimensional nature of wireless channels. However, existing studies assume either a line-of-sight (LOS) scenario or a blocked TX-RX channel. This paper solves a novel problem: tensor-based channel parameter estimation for active RIS-aided multiple-antenna broadband connections in fully multipath environments with the TX-RX link. System settings are customized to construct a fifth-order canonical polyadic (CP) signal tensor that matches the five-dimensional channel. Four tensor factors contain redundant columns, rendering the classical Kruskal's condition for decomposition uniqueness unsatisfied. The fifth-order Vandermonde structured CP decomposition (VSCPD) is developed to address this challenge, making the tensor factorization problem solvable using only linear algebra and offering a relaxed general uniqueness condition. With VSCPD as a perfect decoupling scheme, a sequential triple-stage channel estimation algorithm is proposed based on one-dimensional parameter estimation. The first stage enables multipath identification and algebraic coarse estimation. The following two stages offer optional successive refinements at the cost of increased complexity. The closed-form Cramér-Rao lower bound (CRLB) is derived to assess the estimation performance. Herein, the noise covariance matrix depends on multipath parameters in our active-RIS scenario. Numerical results are provided to verify the effectiveness of proposed algorithms under various evaluation metrics. Our results also show that active RIS can significantly improve channel estimation performance compared to passive RIS. © 2025 IEEE.

关键词： Tensors

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AnyTSR: Any-Scale Thermal Super-Resolution for UAV

arXiv

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arXiv 2025年

作者： Li, Mengyuan Fu, Changhong Lu, Ziyu Zhang, Zijie Zuo, Haobo Yao, Liangliang School of Mechanical Engineering Tongji University Shanghai201804 China Shanghai Key Laboratory of Wearable Robotics and Human-Machine Interaction Tongji University Shanghai201804 China Department of Computer Science University of Hong Kong Hong Kong999077 Hong Kong

Thermal imaging can greatly enhance the application of intelligent unmanned aerial vehicles (UAV) in challenging environments. However, the inherent low resolution of thermal sensors leads to insufficient details and blurred boundaries. Super-resolution (SR) offers a promising solution to address this issue, while most existing SR methods are designed for fixed-scale SR. They are computationally expensive and inflexible in practical applications. To address above issues, this work proposes a novel any-scale thermal SR method (AnyTSR) for UAV within a single model. Specifically, a new image encoder is proposed to explicitly assign specific feature code to enable more accurate and flexible representation. Additionally, by effectively embedding coordinate offset information into the local feature ensemble, an innovative any-scale upsampler is proposed to better understand spatial relationships and reduce artifacts. Moreover, a novel dataset (UAV-TSR), covering both land and water scenes, is constructed for thermal SR tasks. Experimental results demonstrate that the proposed method consistently outperforms state-of-the-art methods across all scaling factors as well as generates more accurate and detailed high-resolution images. The code is located at https:// ***/vision4robotics/AnyTSR. Copyright © 2025, The Authors. All rights reserved.

关键词： Drones

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